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Senior Manager, Cloud Data Platform Engineering

McKesson Open · verified Oct 24, 2026
Hybrid Cork Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at McKesson. Cork · full-time · €68,600–€114,400 base.

SalaryStated by McKesson
€68,600 – €114,400
Base salary for this role, in EUR per year, as published in the posting.
RoleData Engineering
SenioritySenior
LocationCork
WorkplaceHybrid
EmploymentFull-time
Base pay€68,600–€114,400
PostedAug 18, 2026 · 2mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Set the direction and roadmap for enterprise cloud data platforms, then oversee delivery of the platform services
  • Lead managers, engineers, and platform groups responsible for reliable service, governance, and day-to-day operations
  • Modernize Azure data, analytics, AI, and machine learning platforms while strengthening security and compliance controls
  • Track service health, KPIs, SLAs, capacity, risks, and executive updates; advance automation and DevOps practices
  • Coordinate platform adoption with business and technical partners, managing vendors, budgets, investments, and staffing

What you bring

  • A degree or equivalent experience, at least nine years in the profession, and one or more years supervising or managing
  • Practical experience supporting enterprise cloud platforms, including Azure or a comparable environment
  • Experience administering Azure Databricks, covering governance, monitoring, security, and operational support
  • A record of leading operations for business-critical data, analytics, or AI solutions and managing incidents and service performance

Who this fits

This senior leadership role suits someone who can lead both platform operations and teams, while working across engineering, security, architecture, and business groups. It is based in Cork, Ireland, with a hybrid arrangement.

From the employer

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

McKesson is seeking a Senior Manager, Cloud Data Platform Engineering to lead the strategy, governance, reliability, and operational excellence of enterprise cloud data and AI platforms. This leader will drive the evolution of scalable, secure, and cost-effective platform services that enable analytics, data engineering, machine learning, and AI capabilities across the organization.

You will partner with engineering, architecture, security, infrastructure, and business teams to modernize cloud platforms, establish governance standards, and build high-performing teams that deliver measurable business outcomes. This role combines technical leadership, people leadership, operational excellence, and strategic planning within a highly collaborative environment.

What You'll Do:

  • Lead enterprise cloud data platform strategy, roadmap development, and service delivery execution.

  • Manage managers, engineers, and platform teams responsible for platform reliability, governance, and operational excellence.

  • Drive modernization initiatives supporting Azure-based data, analytics, AI, and machine learning platforms.

  • Establish platform governance, security controls, compliance standards, and operational guardrails.

  • Oversee service performance, KPIs, SLAs, capacity planning, risk management, and executive reporting.

  • Champion automation, Infrastructure as Code, DevOps, DataOps, MLOps, and continuous improvement practices.

  • Partner with business, technology, security, and AI stakeholders to enable platform adoption and innovation.

  • Manage technology investments, vendor relationships, budgets, and resource planning while delivering scalable and cost-effective platform services.

Basic Requirements:

  • Requires a degree or equivalent experience, 9+ years of professional experience, and 1+ years of supervisory and/or management experience.

  • Hands-on experience supporting enterprise cloud platforms in Azure or comparable cloud environments.

  • Experience with Azure Databricks administration, governance, monitoring, security, and operational support.

  • Experience leading platform operations for business-critical data, analytics, or AI solutions.

  • Strong understanding of cloud security, identity and access management, compliance, and governance frameworks.

  • Proven experience managing service performance, incident management, operational excellence, and stakeholder communications.

  • Bachelor's degree or equivalent professional experience.

Preferred Skills/Experience:

  • Experience with Azure Databricks, Delta Lake, Azure Storage, Azure Monitor, Azure Networking, Azure Key Vault, Azure Policy, Azure RBAC, and Microsoft Entra ID.

  • Experience implementing Terraform or Infrastructure as Code solutions.

  • Experience with CI/CD, DevOps, DataOps, and MLOps practices.

  • Knowledge of AI platform governance, AI Gateway capabilities, responsible AI practices, and model operationalization.

  • Experience with data governance platforms such as Microsoft Purview, Atlan, Alation, or similar solutions.

  • Experience supporting highly regulated industries, including healthcare, pharmaceutical, or supply chain environments.

  • Industry certifications such as Microsoft Azure Administrator, Azure Security Engineer, Databricks Platform Administrator, or FinOps Practitioner.

  • Demonstrated success driving platform modernization, automation, and organizational transformation.

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Our Base Pay Range for this position

€68,600 - €114,400

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering€60k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.